Build and manage ETL pipelines for data migration with transformation, CDC, and monitoring
Scanned 9/2/2026
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---
name: etl-pipeline-builder
description: Build and manage ETL pipelines for data migration with transformation, CDC, and monitoring
allowed-tools: ["Bash", "Read", "Write", "Grep", "Glob", "Edit"]
graph:
domains: [domain:software-engineering]
specializations: [specialization:code-migration-modernization]
skillAreas: [skill-area:etl-pipelines, skill-area:database-migrations-zero-downtime]
roles: [role:data-engineer, role:backend-engineer]
workflows: [workflow:technical-debt-reduction]
topics: [topic:refactoring]
---
# ETL Pipeline Builder Skill
Builds and manages ETL (Extract, Transform, Load) pipelines for data migration, supporting incremental loads, CDC, and comprehensive monitoring.
## Purpose
Enable data pipeline creation for:
- Source-to-target mapping
- Transformation definition
- Incremental load setup
- CDC configuration
- Pipeline monitoring
## Capabilities
### 1. Source-to-Target Mapping
- Define column mappings
- Handle schema differences
- Configure data type conversions
- Manage derived columns
### 2. Transformation Definition
- Data type transformations
- Value mappings
- Aggregations
- Lookups and enrichments
### 3. Incremental Load Setup
- Define watermarks
- Configure incremental columns
- Handle deletes
- Manage merge logic
### 4. CDC Configuration
- Log-based CDC
- Trigger-based CDC
- Timestamp-based CDC
- Full load comparison
### 5. Error Handling
- Define retry policies
- Configure dead letter queues
- Handle data quality issues
- Implement alerting
### 6. Pipeline Monitoring
- Track pipeline metrics
- Monitor data volumes
- Alert on failures
- Generate SLA reports
## Tool Integrations
| Tool | Type | Integration Method |
|------|------|-------------------|
| Apache Airflow | Orchestration | Python |
| dbt | Transformation | CLI |
| Airbyte | Data integration | API |
| Fivetran | SaaS ETL | API |
| AWS DMS | Cloud migration | CLI |
| Debezium | CDC | Config |
## Output Schema
```json
{
"pipelineId": "string",
"timestamp": "ISO8601",
"pipeline": {
"name": "string",
"source": {},
"target": {},
"mappings": [],
"transformations": [],
"schedule": "string"
},
"artifacts": {
"dagFile": "string",
"configFile": "string",
"sqlFiles": []
},
"deployment": {
"status": "string",
"url": "string"
}
}
```
## Integration with Migration Processes
- **database-schema-migration**: Data movement
- **cloud-migration**: Cloud data pipelines
- **data-format-migration**: Format transformation
## Related Skills
- `data-migration-validator`: Validation
- `schema-comparator`: Schema mapping
## Related Agents
- `database-migration-orchestrator`: Pipeline orchestration
- `data-architect-agent`: Pipeline design

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